1. Introduction to Social Network Analysis in Digital Age Dr. Han Woo PARK Visiting Research Fellow Oxford Internet Institute, UK Associate Professor Department of Media & Communication YeungNam University 214-1 Dae-dong, Gyeongsan-si, Gyeongsangbuk-do 712-749 Republic of Korea han [email_address] http:// www.hanpark.net A co-leader of WCU Project : Investigating Internet-based Politics with e-Research Tools. Virtual Knowledge Studio (VKS)

2. Chap 1 History of SNA

3. Borgatti et al (2009)

4. Development of Social Network Analysis Scott (200?), p.3 Scott (1991), p.7

5. Chap 2 Basic concepts

9. Chap 3 Network types

10. Basic types of social networks

11. Borgatti et al (2009)

12. Chap 4 Primary indicators

14. Chap 5 Distinctive characteristics

15. Comparison with other methods Scott (1991), p.3

16. Borgatti et al (2009)

17. Chap 5 Data collection

19. Hogan (2008)

22. Bi-linked network of politically active A-list Korean citizen blogs (July 2005) URI=Centre DLP=Left GNP=Right Just A-list blogs exchanging links with politicians

23. Chap 5 Major techniques

24. Group, group member, liaison, isolates, dyad, tree Richards (1995)

25. Bj ö rneborn (2003) * Co-inlink : a link to two different nodes from a third node * Co-outlink : A link from two different nodes to a third node

26. cluster, structural equivalence, block modeling

27. Borgatti et al (2009) Structural holes

28. Borgatti et al (2009) Advantageous position in terms of network topology

29. Chap 6 Advances in digital age

30. Figure 2. Dendrogram of clustering results Park (2003)

32. http:// participatorysociety.org/wiki/index.php?title = Online_Research

33. Chap 6 Examples of communication network

35. Universities in Eurasia (at least 100 hyperlinks)

36. Universities in Asia (at least 20 hyperlinks)

37. Universities in Asia (at least 50 hyperlinks)

41. Web types Year Sum of links (Mean) Density Centraliza tion (%) In Out Web 1.0 Home page 2000 N=245 373 (1.52) 0.006 1.84 69.33 2001 515 (2.10) 0.009 1.19 99.55

42. Network map of 2000 Blue: GNP: Conservative: Opposition Red: MDP: Liberal: Ruling

43. Network map of 2001 Star networks without any isolation

45. Web types Year Sum of links (Mean) Density Centraliza tion (%) In Out Web 1.0 Home page 2000 N=245 373 (1.52) 0.006 1.84 69.33 2001 N=243 267 (1.10) 0.002 1.20 69.67

46. Network map of 2001 before VS after modification

47. 2000 VS 2001 (after modification) Blue: GNP: Conservative: Opposition Red: MDP: Liberal: Ruling

49. Web types Year Sum of links (Mean) Density Centraliza tion (%) In Out Web 2.0 Blog 2005 N=99 652 (6.59) 0.067 22.07 41.66 2006 589 (5.95) 0.061 20.67 35.10

50. 2005 VS 2006 Blue: GNP: Conservative: Opposition Yellow: Uri: Liberal: Ruling Green: DLP: Progressive: Opposition

51. Web types Year Sum of links (Mean) Density Centralization (%) Note In Out Web 1.0 (Home page) 2000 N=245 373 (1.52) 0.006 1.84 69.33 Hub but, overall, sparse network 2001 515 (2.10) 0.009 1.19 99.55 Web 2.0 (Blog) 2005 N=99 652 (6.59) 0.067 22.07 41.66 Disappearing hub but getting denser 2006 589 (5.95) 0.061 20.67 35.10

52. Types Year Gini Characteristics Web 1.0 (Home page) 2000 N=245 0.984 Sparse knitted Hub-spike network Winner-take-all Navigation-ability Website interface 2001 0.996 Web 2.0 (Blog) 2005 N=99 0.759 Fairly connected Buffer-fly network Participatory Homophily-based Personal-tie interface 2006 0.763

55. Affiliation network diagram using pages linked to Lee’s and Park’s sites N = 901 (Lee: 215, Park: 692, Shared: 6)

57. 2 Dec 2007 11 Dec 2007 17 Dec 2007

58. Network Measures with Three Different Points Network measures 2 Dec 07 11 Dec 2007 17 Dec 2007 Clustering coefficient 2.581 2.368 1.777 Average distance (Cohesion value) 1.564 (0.215) 1.821 (0.273) 1.681 (0.346) Degree centralities of sites ijworld.or.kr leehc.org ckp.kr 0.158 0.000 0.000 0.263 0.053 0.053 0.684 0.263 0.053

59. Chap 6 Examples of knowledge network

61. Number of papers by Korean authors in the Science Citation Index and bi- and trilateral relations between TH-sectors within the economy

62. Mutual information in trilateral Triple Helix relations in Korea

63. Source: Science Citation Index 2000 2002 -70.7 -71.0 -45.3 -54.0 -39.6 -42.5 -32.5 -27.6 -32.8 -82.4 -11.0 -18.0 -28.6 -33.7 -18.9 -67.7 -26.8

64. Top 68 title words with cosine ≥ 0.1 for South-Korea Science Citation Index 2002 bio materials organic control medical Co-word network in Korea

65. Top 49 words with cosine ≥ 0.1 for The Netherlands Science Citation Index 2002 cancer biotech Co-word network in the Netherlands

66. Cosine normalized map of 105 co-occurring words in patents (in 2002) with a Dutch address among the assignees or inventors (N Patents = 2,824; Word frequency > 22; cosine ≥ 0.1).

67. Cosine normalized map of 103 co-occurring words in patents (2002) with a Korean address among the assignees or inventors (N Patents is 4,200; Word frequency > 40; cosine ≥ 0.1).

68. Cosine normalized map of 103 co-occurring words in patents (2002) with a Korean address among the assignees or inventors (N Patents is 4,200; Word frequency > 40; cosine ≥ 0.1). info devices coating chips display printing

70. Seoul (normalized) centralities and overall network centralization

71. Density values 1974-2006 for all categories, SCI-only, SSCI-only

72. Fragmentation value when one key player, Seoul, is removed

73. Chap 7 Tools & Demonstrations